optimization - OpenGenus IQ: Learn Algorithms, DL, System Design

Types of Neural Network optimizations

The types of neural network optimizations are weight pruning, structured pruning, convolution, fully-connected, structured group, structure ranking with activations like Lp norm, block pruning, model thinning, compression schedule, regularization, group lasso, group variance, quantization and others

game theory

Alpha Beta Pruning in Minimax Algorithm

Algorithm Complexity Implementations Applications Questions Reading time: minutes | Coding time: minutes Like we discussed in earlier article, a hard coded AI can be used to create an intelligent opponent which you can challenge

java memory management

Memory Management in Java: Garbage Collection Tuning and Optimization

Tuning garbage collection is an important task in designing scalable applications in Java. he three considerations for tuning are Latency Throughput and Capacity. This article presents a real life tuning example and general concepts